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化驗
97%
形狀
powder
bp
397-400 °C (lit.)
mp
283-286 °C (lit.)
SMILES 字串
O=C1OC(=O)c2cc3C(=O)OC(=O)c3cc12
InChI
1S/C10H2O6/c11-7-3-1-4-6(10(14)16-8(4)12)2-5(3)9(13)15-7/h1-2H
InChI 密鑰
ANSXAPJVJOKRDJ-UHFFFAOYSA-N
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一般說明
均苯四甲酸二酐是二酐类单体,常用于制备聚酰亚胺聚合物,这类聚合物因其优异的热稳定性、高机械强度和固有的阻燃性而用于航空航天、电子和汽车工业领域。它还用于合成聚酯和聚醚等热塑性聚合物,以及增塑剂和环氧树脂。另外,PMDA还可作为环氧树脂的固化剂。环氧树脂广泛用于粘合剂、涂料、复合材料和电绝缘材料。
均苯四甲酸二酐(PMDA)是一种酸性酸酐,可作为修复剂和扩链剂用于聚对苯二甲酸乙二醇酯(PET)扩链反应。它主要用于生产热塑性塑料和其他涂料应用。
均苯四甲酸二酐(PMDA)是一种酸性酸酐,可作为修复剂和扩链剂用于聚对苯二甲酸乙二醇酯(PET)扩链反应。它主要用于生产热塑性塑料和其他涂料应用。
應用
PMDA可用作:
- 单体,合成具有优良热机械性能和化学特性的芳香族聚酰亚胺。这些聚合物可应用于汽车和电子行业。
- 封端剂,研发硅氧烷基杂化材料,在有机电子领域具有潜在应用。
- 单体,制备和改性薄膜复合膜,用于水净化、气体分离和生物医学设备。
- 单体,合成均苯四甲酸二酰亚胺共聚物,作为锂离子电池和钠离子电池的稳定性正极活性材料。
訊號詞
Danger
危險聲明
危險分類
Eye Dam. 1 - Resp. Sens. 1 - Skin Sens. 1
儲存類別代碼
11 - Combustible Solids
水污染物質分類(WGK)
WGK 1
閃點(°F)
716.0 °F - closed cup
閃點(°C)
380 °C - closed cup
個人防護裝備
dust mask type N95 (US), Eyeshields, Faceshields, Gloves
其他客户在看
Bioresource technology, 110, 160-166 (2012-02-22)
Magnetic pyromellitic dianhydride (PMDA) modified sugarcane bagasse (SCB) was prepared by a situ co-precipitation method. Results showed that the magnetic modified SCB could be recycled easily by an applied magnetic field. Adsorption capacities of the magnetic sorbent for cationic dyes:
Polymers, 12(9) (2020-09-12)
A high-barrier polyimide (2,7-CPI) was synthesized through the polymerization of pyromellitic dianhydride (PMDA) and a novel diamine (2,7-CDA) containing carbazole moiety. The synthesized diamine and polyimide were fully characterized by elemental analyses, FTIR and NMR. The 2,7-CPI displays very attractive
Molecules (Basel, Switzerland), 25(13) (2020-07-08)
Carbon-based materials with different morphologies have special properties suitable for application in adsorption, catalysis, energy storage, and so on. Carbon spheres and carbon monoliths are also nanostructured materials showing promising results. However, the preparation of these materials often require the
Reparation of recycled acrylonitrile-butadiene-styrene by pyromellitic dianhydride: reparation performance evaluation and property analysis
Polymer, 124(3), 41-47 (2017)
Technometrics : a journal of statistics for the physical, chemical, and engineering sciences, 62(2), 196-205 (2020-06-12)
We propose a novel linear discriminant analysis (LDA) approach for the classification of high-dimensional matrix-valued data that commonly arises from imaging studies. Motivated by the equivalence of the conventional LDA and the ordinary least squares, we consider an efficient nuclear
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